Systems and methods for network congestion management using radio access network congestion indicators

• US 8,130,655 B2
• Filed: 08/03/2011
• Issued: 03/06/2012
• Est. Priority Date: 02/03/2010
• Status: Active Grant

• Current Assignee: Amdocs Canadian Managed Services Inc. (Amdocs Ltd.), Amdocs Development Limited (Amdocs Ltd.)
• Original Assignee: Bridgewater Systems Corp. (Amdocs Ltd.)
• Inventors: Foottit, Tom, Raguparan, Masilamany, Bell, Shannon
• Primary Examiner(s): Moe, Aung S
• Assistant Examiner(s): PASIA, REDENTOR M
• Application Number:
  US13/197,502
• Publication Number:
  US 20110280130A1
• Time in Patent Office: 216 Days
• Field of Search: 370/229, 370/230, 370/230.1, 370/232, 370/235, 370/236, 370/248, 370/252, 370277-278, 370/310, 370/320, 370328-335, 370352-353, 370/441, 370/474, 370/477, 709/224, 709/225, 709/232, 709/233, 709/235
• US Class Current: 370/236
• CPC Class Codes: H04L 47/12 Avoiding congestion; Recovering from congestion
• CPC Class Codes: H04L 47/20 Traffic policing
• CPC Class Codes: H04L 47/2425 for supporting services specification, e.g. SLA
• CPC Class Codes: H04L 47/2441 relying on flow classification, e.g. using integrated services [IntServ]
• CPC Class Codes: H04W 28/02 Traffic management, e.g. flow control or congestion control
• CPC Class Codes: H04W 28/0284 detecting congestion or overload during communication monitoring arrangements H04L43/00
• CPC Class Codes: H04W 28/10 Flow control between communication endpoints
• CPC Class Codes: H04W 28/16 Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
• CPC Class Codes: H04W 8/04 Registration at HLR or HSS [Home Subscriber Server]

Abstract

Systems and methods for managing communications network congestion are provided. In an embodiment, the system includes a radio access network (RAN) interface configured to receive RAN congestion indicators, a congestion correlator module configured to correlate RAN congestion indicators to service congestion indicators, a database comprising a set of congestion based policy rules, a policy controller module configured to apply the congestion-based policy rules to achieve a policy decision, and a policy enforcement control point interface configured to transmit network control instructions to enforce the policy decisions. In another embodiment of the invention, a method is provided for managing communications network congestion, that includes receiving one or more radio access network (RAN) congestion indicators, correlating the one or more RAN congestion indicators to one or more service congestion indicators, applying a congestion-based policy rule based on service congestion indicators to generate a policy decision, and implementing the policy decision.

Claims

1. A system for managing communications network congestion, comprising:

a radio access network (RAN) interface configured to receive RAN congestion indicators;

a congestion correlator module configured to correlate the RAN congestion indicators to service congestion indicators;

a database comprising congestion based policy rules, wherein the congestion-based policy rules establish control responses based on at least one or more service congestion indicators;

a policy controller module configured to apply the congestion-based policy rules to achieve a policy decision; and

a policy enforcement control point interface configured to transmit network control instructions to enforce the policy decision;

wherein the congestion correlator module is further configured to generate a predictive service congestion indicator based on received RAN congestion indicators by performing pattern matching with a pattern based on a RAN congestion history that corresponds to a previous service congestion event.

2. The system of claim 1, further comprising a RAN congestion history module configured to store the RAN congestion indicators associated with a RAN as a function of time.

3. The system of claim 1, further comprising a RAN congestion state module configured to store congestion state information for a RAN.

4. The system of claim 1, further comprising a marketing interface configured to transmit a marketing congestion indicator, wherein the marketing congestion indicator includes an indication that a user'"'"'s experience will be adjusted based on network congestion considerations.

5. The system of claim 1, further comprising an interface configured to gather RAN user activity information, wherein the RAN user activity information identifies the users being serviced by a RAN and the type of services being provided.

6. The system of claim 1, wherein the congestion correlator module is further configured to generate the service congestion indicators based on one or more RAN congestion indicators, RAN congestion states, RAN congestion trends, historical RAN congestion patterns and historical service congestion patterns.

7. The system of claim 1, wherein the set of congestion-based policy rules adjust limitations on bandwidth allowances, adjust service traffic priority, or block access to certain applications.

8. The system of claim 1, wherein the set of congestion-based policy rules are imposed against classes of users.

9. A method for managing communications network congestion, comprising:

receiving one or more radio access network (RAN) congestion indicators;

correlating the one or more RAN congestion indicators to one or more service congestion indicators;

applying a congestion-based policy rule based on the one or more service congestion indicators to generate a policy decision; and

implementing the policy decision;

wherein the correlating the one or more RAN congestion indicators to the one or more service congestion indicators include generating a predictive service congestion indicator based on received RAN congestion indicators by performing pattern matching with a pattern based on a RAN congestion history that corresponds to a previous service congestion event.

10. The method of claim 9, further comprising transmitting a reporting message that includes the one or more RAN congestion indicators.

11. The method of claim 9, further comprising transmitting a marketing message that includes an indication that a congestion-based policy decision has been made.

12. The method of claim 11, further comprising transmitting a marketing offer to one or more users that are impacted by the congestion-based policy decision.

13. The method of claim 9, further comprising storing the one or more RAN congestion indicators and associating the one or more congestion indicators with a RAN.

14. The method of claim 9, further comprising storing congestion state information based on the one or more RAN congestion indicators for a RAN.

15. The method of claim 9, wherein correlating the one or more RAN congestion indicators to the one or more service congestion indicators includes the determining one or more service congestion indicators based on the one or more RAN congestion indicators and RAN state information.

16. The method of claim 9, wherein correlating the one or more RAN congestion indicators to the one or more service congestion indicators includes determining the one or more service congestion indicators based on the one or more RAN congestion indicators and historical service congestion information associated with a RAN.

17. The method of claim 9, wherein correlating the one or more RAN congestion indicators to the one or more service congestion indicators includes determining the one or more service congestion indicators based on the one or more RAN congestion indicators, and one or more of RAN congestion state information, historical service congestion associated with a RAN, subscriber activity associated with the RAN and time of day.

18. The method of claim 9, wherein implementing the policy decision includes transmitting a control message to a policy control enforcement point that adjusts the service characteristics of users associated with a RAN for which the one or more RAN congestion indicators are received.

19. The method of claim 9, wherein the one or more service congestion indicators include a present state service congestion indicator and the predicted service congestion indicator.